Determinants of operational efficiency on the financial health of non-life insurance companies in South Africa

Q2 Economics, Econometrics and Finance Insurance Markets and Companies Pub Date : 2023-12-08 DOI:10.21511/ins.14(1).2023.11
Omonike Ige-Gbadeyan, Matthys Johannes Swanepoel
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Abstract

This study aimed to determine the effect of operational efficiency on financial health of non-life insurance companies in South Africa. Operational efficiency refers to an insurer’s ability to deliver its services while minimizing costs and maximizing profitability. A descriptive research design was used to achieve the objective of this study. The panel data from 2008–2019 used secondary data sourced from S&P Capital Q and Refinitiv Eikon, well-known databases with readily available data. The population of this study focuses on 32 non-life insurance companies with measurable markets of 57 domestic non-life insurance providers in South Africa. Data were analyzed using Fixed-effect regression, (Random-effect GLS regression, correlation, and the Hausman test. The result reveals that of all the variables, only premium growth correlates significantly (negative correlation) with financial health. This could be a result of a specific investment that resulted in a lower rate than that of a risk-free security. It is also important to note that a negative premium does not always indicate a problem. This can happen due to cancellations of reinsurance, reinsurer closures, paid off reinsurance ahead of time, under- pricing policies, inadequate reserves, high claim frequency, operational inefficiencies, investment losses, inadequate risk assessment, economic downturn, regulatory changes, catastrophic event, and any other events. It is essential for non-life insurance companies to carefully manage their underwriting practices, risk assessment, pricing strategies, and investment portfolios to avoid negative premium situations and maintain financial health.
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运营效率对南非非寿险公司财务健康状况的决定因素
本研究旨在确定经营效率对南非非寿险公司财务健康的影响。运营效率指的是保险公司在提供服务的同时,将成本降至最低、盈利能力最大化的能力。采用描述性研究设计来达到本研究的目的。2008年至2019年的面板数据使用了来自标普资本Q和Refinitiv Eikon的二手数据,这两家知名数据库都有现成的数据。本研究的人口集中在32家非寿险公司,在南非有57家国内非寿险公司提供可测量的市场。数据分析采用固定效应回归、随机效应GLS回归、相关性和Hausman检验。结果表明,在所有变量中,只有保费增长与财务健康显著相关(负相关)。这可能是由于某项特定投资的收益率低于无风险证券的收益率。同样重要的是要注意,负溢价并不总是表明有问题。这可能是由于再保险取消、再保险公司关闭、提前偿还再保险、定价政策不足、准备金不足、索赔频率高、运营效率低、投资损失、风险评估不足、经济低迷、监管变化、灾难性事件和任何其他事件而发生的。非寿险公司有必要仔细管理其承保业务、风险评估、定价策略和投资组合,以避免负保费情况并保持财务健康。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Insurance Markets and Companies
Insurance Markets and Companies Economics, Econometrics and Finance-Finance
CiteScore
3.50
自引率
0.00%
发文量
6
审稿时长
11 weeks
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